Sheikh Md Shakeel Hassan

alias: Shakeel Hassan

Ph.D. Candidate, Dept. of EECS

University of California, Irvine · HPCForge Lab

I’m a Ph.D. student in Electrical & Computer Engineering at UC Irvine. My research focuses on scientific machine learning for multiphase physics(especially boiling) and on building surrogate models that remain stable and respect conservation laws over long rollouts.

I’m advised by Dr. Aparna Chandramowlishwaran. My work includes Bubbleformer (NeurIPS 2025 Spotlight) and BubbleML (NeurIPS 2023 Spotlight), and I’ve also done a research internship at Oak Ridge National Laboratory.

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Publications

Selected publications. For a complete list, see my publications page.

Bubbleformer: Forecasting Boiling with Transformers

Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv, Vishwanath Ganesan, Aparna Chandramowlishwaran

NeurIPS 2025 · Spotlight Paper

Project Page Paper Code

BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning

Sheikh Md Shakeel Hassan*, Arthur Feeney*, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran

NeurIPS 2023 · Spotlight Paper

Project Page Paper Code

Under Review

History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction

Xianwei Zou, Sheikh Md Shakeel Hassan, Arthur Feeney, Aparna Chandramowlishwaran

Under review

NUCLEUS: A Unified Model of Boiling with Mixture of Experts

Arthur Feeney, Xianwei Zou, Sheikh Md Shakeel Hassan, Siddhartha Rachabathuni, Aparna Chandramowlishwaran

Under review (ACM KDD 2026)

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Contact

sheikhh1@uci.edu